We propose an interference-aware MAC protocol using a simple
transmission strategy motivated by a game-theoretic approach. We
formulate a channel access game, which considers nodes concurrently
transmitting in nearby clusters, incorporating a realistic wireless
communication model - the {em SINR model}. Under {em
inter-cluster} interference, we derive a decentralized transmission
strategy, which achieves a Bayesian Nash Equilibrium (BNE). The
proposed MAC protocol balances network throughput and battery
consumption at each transmission.
We compare our BNE-based decentralized strategy with a centralized
globally optimal strategy in terms of efficiency and balance. We
further show that the transmission threshold should be adaptively
tuned depending on the number of active users in the network,
crosstalk, ambient noise, transmission cost, and radio-dependent
receiver sensitivity. We also present a simple dynamic procedure for
nodes to efficiently find a Nash Equilibrium (NE) without requiring each
node to know the total number of active nodes or the channel gain
distribution, and prove that this procedure is guaranteed to
converge.